Application of Fuzzy Unscented Kalman Filter for States and Parameter Estimation of Two-Mass Drive

被引：0
作者：
Wrobel, Karol [1 ]
Drozdz, Krzysztof [1 ]
Szabat, Krzysztof [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Fac Elect Engn, Wroclaw, Poland
来源：
2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2020年
关键词：
torsional vibration; two-mass system; electrical drives; Kalman filter; VIBRATION SUPPRESSION; SPEED CONTROLLER; NEURAL-NETWORK; SYSTEM; VARIABLES; OBSERVER;
D O I：
10.1109/isie45063.2020.9152563
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents the estimation of mechanical state variables and parameter of the drive system with elastic coupling by using of a Fuzzy Unscented Kalman Filter (FUKF). The adaptive control structure was used with IP controller and two additional feedbacks. The value of mechanical parameter estimated by filter cause retuning of the control structure coefficients. The operation of the proposed structure was checked during simulation and experimental tests.
引用
收藏
页码：259 / 264
页数：6
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